ϑiDSSKrSSKJrJr SSKrSSKrSSKJr Sr Sr g)N)MappingSequence)corec D^USn[U[R5(a[R"USS9nU$[U[R 5(a[R"USS9$[U[ R5(a[R"U5nU$[U[[45(aU$[U[5(a1UVVs0sH!o"[UVs/sHo3UPM sn5_M# snn$[U[5(a[[U5m[U4Sj[!U555(d [#S5e[%U6Vs/sHn[U5PM sn$['S[)U535es snfs snnfs snf)a Default batch collating function for :code:`paddle.io.DataLoader`, get input data as a list of sample datas, each element in list if the data of a sample, and sample data should composed of list, dictionary, string, number, numpy array and paddle.Tensor, this function will parse input data recursively and stack number, numpy array and paddle.Tensor datas as batch datas. e.g. for following input data: [{'image': np.array(shape=[3, 224, 224]), 'label': 1}, {'image': np.array(shape=[3, 224, 224]), 'label': 3}, {'image': np.array(shape=[3, 224, 224]), 'label': 4}, {'image': np.array(shape=[3, 224, 224]), 'label': 5},] This default collate function zipped each number and numpy array field together and stack each field as the batch field as follows: {'image': np.array(shape=[4, 3, 224, 224]), 'label': np.array([1, 3, 4, 5])} Args: batch(list of sample data): batch should be a list of sample data. Returns: Batched data: batched each number, numpy array and paddle.Tensor in input data. r)axisc3@># UHn[U5T:Hv M g7f)N)len).0samplesample_fields_nums \/var/www/html/banglarbhumi/venv/lib/python3.13/site-packages/paddle/io/dataloader/collate.py %default_collate_fn..GsN+3v;"33+sz/fields number not same among samples in a batchzQbatch data con only contains: tensor, numpy.ndarray, dict, list, number, but got ) isinstancenpndarraystackpaddleTensornumbersNumberarraystrbytesrdefault_collate_fnrr alliter RuntimeErrorzip TypeErrortype)batchr keydfieldsr s @rrrsa:1XF&"**%%Q' FFMM * *||E** FGNN + + FS%L ) ) FG $ $HN HN#U$;UsVU$;< <   FH % %KN$u+NNNA :=eEv"6*EE  ''+F|n 6 %< FsF.F< F#FFc[U[R[R[ R R45(aU$[U[[45(aU$[U[5(aUVs0sHo[X5_M sn$[U[5(aUVs/sHn[U5PM sn$U$s snfs snf)a{ Default batch converting function for :code:`paddle.io.DataLoader`. get input data as a list of sample datas, each element in list if the data of a sample, and sample data should composed of list, dictionary, string, number, numpy array and paddle.Tensor. .. note:: This function is default :attr:`collate_fn` in **Disable automatic batching** mode, for **Disable automatic batching** mode, please ses :attr:`paddle.io.DataLoader` Args: batch(list of sample data): batch should be a list of sample data. Returns: Batched data: batched each number, numpy array and paddle.Tensor in input data. ) rrrrrreagerrrrdefault_convert_fnr)r#r$r%s rr)r)Ss&%&--TZZ5F5FGHH EC< ( ( E7 # #?DEu' 33uEE E8 $ $/45u!"1%u55 F5s C4C) rcollections.abcrrnumpyrr frameworkrrr)rr/s!- 7tr.